Digital Image Processing
Sensor deployment strategy for target detection
WSNA '02 Proceedings of the 1st ACM international workshop on Wireless sensor networks and applications
Wireless sensor networks for habitat monitoring
WSNA '02 Proceedings of the 1st ACM international workshop on Wireless sensor networks and applications
The Critical Transmitting Range for Connectivity in Sparse Wireless Ad Hoc Networks
IEEE Transactions on Mobile Computing
Analytic modeling of detection latency in mobile sensor networks
Proceedings of the 5th international conference on Information processing in sensor networks
Virtual high-resolution for sensor networks
Proceedings of the 4th international conference on Embedded networked sensor systems
A Collaborative Model for Wireless Sensor Networks Applied to Museums' Environmental Monitoring
CDVE '08 Proceedings of the 5th international conference on Cooperative Design, Visualization, and Engineering
A collaborative model for representing wireless sensor networks' entities and properties
Proceedings of the 3nd ACM workshop on Performance monitoring and measurement of heterogeneous wireless and wired networks
Level set estimation using uncoordinated mobile sensors
ADHOC-NOW'07 Proceedings of the 6th international conference on Ad-hoc, mobile and wireless networks
Improving users' manipulation and control on WSNs through collaborative sessions
International Journal of Knowledge and Web Intelligence
| Hi-index | 0.00 |
Wireless sensor networks are useful for monitoring physical parameters and detecting objects or substances in an area. Most ongoing research consider the use of stationary sensors or controlled mobile sensors, which incur substantial equipment costs and coordination efforts. Alternatively, this paper considers using uncoordinated mobile nodes, who is not directed for any specific sensing activity. Each node independently observes a cross section of the field along its own path. The limited observation can be extended via information exchange among nodes coming across each other. For this model, the inherently noisy mobile measurements, incomplete individual observations, different sensing objectives, and collaboration policies must be addressed. The paper proposes a design framework for uncoordinated mobile sensing and one sensing approach based on profile estimation for target detection, field estimation, and edge detection. With simulations, we study its strengths and tradeoffs with stationary and controlled mobile approaches.